Instead of relying entirely on paid data, it starts with an a priori expected ultimate loss (e.g., 65% of earned premium) and then adds actual reported losses to date, adjusting for how much of the expected loss should have emerged by now.
Ratemaking and loss reserving are complex processes that involve significant uncertainty and variability. Some of the key challenges facing P&C insurers include: Instead of relying entirely on paid data, it